A safety protection method and system for automobile charging pile

Abstract

The present invention discloses a method and system for the safety protection of automobile charging piles, and relates to the technical field of charging piles. The method comprises: obtaining the working area information of the automobile charging piles, interacting with real-time environmental monitoring data and meteorological data, generating an environmental prediction sequence and performing environmental trend analysis, matching and obtaining a single-index or multi-index protection mode, and activating the corresponding security unit according to the protection mode, combining the environmental prediction sequence, dynamically generating a personalized protection plan, and executing the safety protection of the target automobile charging pile. The present invention solves the technical problem that the existing charging pile protection measures are usually static, the protection strategy cannot be adjusted in real time according to environmental changes, and it is difficult to cope with sudden weather changes or extreme climates. It achieves the technical effect of predicting the operating environment trend of automobile charging piles based on real-time environmental monitoring data, and performing dynamic safety protection according to the prediction results, thereby improving the safety of charging piles.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a safety protection method and system for automobile charging piles. Background Art

[0002] Against the backdrop of the rapid development of current vehicle charging infrastructure, charging piles, as essential supporting equipment for electric vehicles, are crucial for their safety and reliability. With climate change and increasing environmental complexity, charging piles operating outdoors or in semi-open environments may face a variety of adverse factors, including lightning, high and low temperatures, rainfall, windy and sandy conditions, and other adverse weather conditions. These factors not only affect the normal operation of charging piles but also pose a threat to the safety of the charging piles and their users.

[0003] While existing technologies offer basic protection for charging piles, such as lightning protection and waterproofing, these measures are often static and single-purpose, unable to respond in real time to dynamic changes in the actual environment and failing to provide a comprehensive, multi-dimensional protection solution. In extreme weather or complex environmental conditions, traditional static protection models are unable to adequately address various emergencies, easily causing damage to charging pile equipment and even electrical safety incidents. Summary of the Invention

[0004] The present application provides a method and system for protecting automobile charging piles, which are used to solve the technical problems that existing charging pile protection measures are usually static, cannot adjust protection strategies in real time according to environmental changes, and are difficult to cope with sudden weather changes or extreme climates.

[0005] A first aspect of the present application provides a method for safety protection of a car charging pile, the method comprising: interactively acquiring real-time environmental monitoring data and meteorological monitoring data based on working area information of a target car charging pile, and fusing and generating a working environment prediction sequence of the target car charging pile; performing environmental trend analysis based on the working environment prediction sequence, and matching and acquiring a target protection mode based on the environmental trend analysis result, the target protection mode comprising a single-indicator protection mode and a multi-indicator protection mode, the single-indicator protection mode including but not limited to a thunderstorm mode, a high temperature mode, and a low temperature mode; activating a corresponding target security unit with reference to the target protection mode, the target security unit may be a lightning protection unit, a power-off protection unit, a temperature protection unit, and a waterproof and dustproof unit; dynamically generating a personalized protection plan based on the target security unit and in combination with the working environment prediction sequence, and executing safety protection of the target car charging pile based on the personalized protection plan.

[0006] According to a second aspect of the present application, a car charging pile safety protection system is provided, the system comprising: a working environment prediction sequence acquisition module, the working environment prediction sequence acquisition module is used to interactively acquire real-time environmental monitoring data and meteorological monitoring data according to the working area information of the target car charging pile, and fuse them to generate a working environment prediction sequence for the target car charging pile; a target protection pattern matching module, the target protection pattern matching module is used to perform environmental trend analysis based on the working environment prediction sequence, and match and acquire a target protection pattern according to the environmental trend analysis result, the target protection pattern including a single-indicator protection mode and a multi-indicator protection mode, the single-indicator protection mode including but not limited to a thunderstorm mode, a high temperature mode, and a low temperature mode; a target security unit activation module, the target security unit activation module is used to activate a corresponding target security unit with reference to the target protection mode, the target security unit may be a lightning protection unit, a power-off protection unit, a temperature protection unit, and a waterproof and dustproof unit; a charging pile safety protection module, the charging pile safety protection module is used to dynamically generate a personalized protection plan based on the target security unit and in combination with the working environment prediction sequence, and execute safety protection for the target car charging pile based on the personalized protection plan.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The present application provides a method and system for protecting automobile charging piles, which relate to the technical field of charging piles. The method and system obtain working area information of automobile charging piles, interact with real-time environmental monitoring data and meteorological data, generate environmental prediction sequences and perform trend analysis, match and obtain single-indicator or multi-indicator protection modes, such as thunderstorms, high temperatures, low temperatures, etc., and activate corresponding security units according to the protection mode, including lightning protection, power outages, temperature protection, and waterproof and dustproof units. Combined with the environmental prediction sequence, personalized protection plans are dynamically generated to ensure the safe operation of charging piles under complex environmental conditions. The method solves the technical problem that the existing protection measures for charging piles are usually static, and the protection strategies cannot be adjusted in real time according to environmental changes, making it difficult to cope with sudden weather changes or extreme climates. The method realizes the prediction of the operating environment trend of automobile charging piles based on real-time environmental monitoring data, and performs dynamic safety protection according to the prediction results, thereby improving the safety of charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a vehicle charging pile safety protection method provided in an embodiment of the present application;

[0011] Figure 2 A schematic structural diagram of a car charging pile safety protection system provided in an embodiment of the present application.

[0012] Explanation of the reference numerals: working environment prediction sequence acquisition module 11 , target protection pattern matching module 12 , target security unit activation module 13 , charging pile safety protection module 14 . DETAILED DESCRIPTION

[0013] The present application provides a method and system for protecting automobile charging piles, which are used to solve the technical problems that existing charging pile protection measures are usually static, cannot adjust protection strategies in real time according to environmental changes, and are difficult to cope with sudden weather changes or extreme climates.

[0014] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0015] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0016] Example 1, as Figure 1 As shown, the present application provides a method for protecting a vehicle charging pile safety, the method comprising:

[0017] P10: Based on the working area information of the target vehicle charging pile, interactively obtain real-time environmental monitoring data and meteorological monitoring data, and fuse them to generate a working environment prediction sequence for the target vehicle charging pile.

[0018] Furthermore, step P10 in the embodiment of the present application further includes:

[0019] P11: Read the working area information of the target car charging pile, and the working area information includes geographic location information and device location identification; P12: Based on the geographic location information, the interactive meteorological platform obtains the meteorological monitoring data; P13: According to the device location identification, read the associated sensor device data to obtain the real-time environmental monitoring data; P14: Through the pre-built meteorological environment prediction model, according to the real-time environmental monitoring data and meteorological monitoring data, the working environment of the target car charging pile is analyzed and predicted to obtain the working environment prediction sequence.

[0020] It should be understood that based on the target vehicle charging station's operating area information, real-time environmental monitoring data and meteorological monitoring data are interactively acquired to generate a prediction sequence for the target vehicle charging station's operating environment. First, the target vehicle charging station's operating area information is read, including its geographic location information and device location identifier. Geographic location information refers to the specific geographic coordinates of the charging station, which can be used to accurately locate the charging station. The device location identifier is a unique identification code assigned to each charging station, ensuring that the system can accurately identify and process data related to a specific charging station in complex environments.

[0021] After obtaining the geographic location of the target vehicle charging station, the system interacts with an external meteorological platform to obtain relevant meteorological monitoring data. This data includes, but is not limited to, real-time weather conditions, temperature, precipitation, wind speed, and lightning warnings. This data provides the foundation for subsequent environmental analysis.

[0022] Next, based on the device location identifiers mentioned above, the sensor data associated with the target charging station is retrieved. These sensors may be installed around the charging station, monitoring environmental parameters in the area in real time, such as temperature, humidity, air quality, and surrounding physical disturbances. Real-time environmental monitoring data provides dynamic data about the charging station at all times, complementing meteorological data to form a more comprehensive environmental dataset.

[0023] After acquiring meteorological monitoring data and real-time environmental monitoring data, a pre-built meteorological environment prediction model is used to analyze and predict the working environment. This meteorological environment prediction model is constructed based on historical meteorological data, sensor data, and machine learning algorithms. It can effectively analyze current environmental trends and make accurate predictions about future environmental changes. Combining these two types of data, a prediction sequence for the working environment of the target vehicle charging pile is generated—that is, a prediction of the environment in which the charging pile will be located over a period of time in the future. This prediction sequence will provide critical support for the subsequent selection of protection modes and the generation of personalized protection plans. This integrated data analysis approach not only improves the accuracy of predictions but also enables charging piles to dynamically adapt to the ever-changing environment, thereby ensuring their safety and operational efficiency.

[0024] P20: Based on the working environment prediction sequence, an environmental trend analysis is performed, and according to the environmental trend analysis results, a target protection mode is matched and obtained. The target protection mode includes a single-indicator protection mode and a multi-indicator protection mode. The single-indicator protection mode includes but is not limited to a thunderstorm mode, a high temperature mode, and a low temperature mode.

[0025] Furthermore, step P20 in this embodiment of the present application further includes:

[0026] P21: Based on the working environment prediction sequence, perform environmental trend analysis, including temperature trend analysis, precipitation trend analysis and wind speed trend analysis, to obtain multiple environmental indicator trend sequences; P22: Compare and judge the multiple environmental indicator trend sequences with multiple environmental indicator thresholds to generate multiple environmental indicator hazard levels; P23: Extract key protection indicators based on the multiple environmental indicator hazard levels, and sort the extracted key protection indicators by protection priority to generate a key protection indicator combination; P24: According to the key protection indicator combination, traverse the preset protection space to match and obtain the target protection mode.

[0027] Optionally, in order to ensure the accuracy and pertinence of the protection mode, an environmental trend analysis is performed based on the work environment prediction sequence, and a suitable target protection mode is obtained accordingly.

[0028] First, after receiving the working environment forecast sequence, trend analysis is performed on multiple key environmental factors. This includes temperature, precipitation, and wind speed trend analysis. By analyzing temperature curves, the system predicts the likelihood of extreme high or low temperatures in the future. Precipitation trend analysis predicts the likelihood of thunderstorms or heavy rain. Wind speed trend analysis estimates future wind speed fluctuations, ensuring the safe operation of charging stations in strong winds. These analysis results form a series of environmental indicator trends, laying the foundation for developing protective strategies.

[0029] Next, the generated environmental indicator trend sequence is compared with pre-set environmental indicator thresholds. Each environmental indicator has a specific safety threshold. For example, the temperature threshold can be set at 50°C (high temperature) and -10°C (low temperature), and the precipitation threshold can be set at 50 mm / h (heavy rain). When the environmental indicator trend exceeds the threshold, the system generates the corresponding environmental indicator danger level. The danger level reflects the potential risk level of each indicator in the current predicted environment and is an important basis for the system to judge future environmental conditions.

[0030] After determining the danger levels of multiple environmental indicators, the system extracts key protection indicators based on these levels and prioritizes them. The priority of protection indicators is determined based on the urgency of their potential risks. For example, when high temperatures and thunderstorms occur simultaneously, the thunderstorm mode may be given a higher priority because it has a more direct impact on the charging station circuits. Through this ranking mechanism, the system generates a combination of key protection indicators, providing a basis for subsequent protection mode selection.

[0031] Finally, based on the generated key protection indicator combinations, the system traverses the preset protection mode space and matches the target protection mode appropriate for the current environment. The preset protection modes are divided into single-indicator and multi-indicator modes. Single-indicator protection modes primarily address sudden changes in a single environmental factor (such as thunderstorms, high temperatures, or low temperatures), while multi-indicator protection modes address the combined effects of multiple environmental factors (such as combined protection against thunderstorms and strong winds). Through this dynamic matching, the system selects the most appropriate protection solution for the current environment, ensuring the safe operation of the charging pile.

[0032] Throughout this process, by analyzing environmental trends and comparing environmental indicator thresholds, the system not only accurately identifies potential environmental risks but also generates personalized protection modes based on the urgency of the risk. This dynamic matching mechanism, based on environmental indicator hazard levels and protection priorities, makes charging pile protection more targeted and flexible, improving the system's ability to cope with complex environmental changes.

[0033] P30: Activate the corresponding target security unit with reference to the target protection mode. The target security unit may be a lightning protection unit, a power failure protection unit, a temperature protection unit, and a waterproof and dustproof unit.

[0034] Specifically, according to the matched target protection mode, the corresponding target security unit is activated to ensure the safety and stability of the car charging pile under different environmental conditions. The target security unit may include a lightning protection unit, a power-off protection unit, a temperature protection unit, and a waterproof and dustproof unit. Each unit provides targeted protection measures for different environmental risks. Once the system matches the appropriate target protection mode, the target security unit corresponding to the mode will be activated next. For example, when the system matches the thunderstorm mode, the lightning protection unit and the power-off protection unit will be automatically activated to deal with the impact of lightning and prevent risks such as circuit short circuits. In high temperature mode, the temperature protection unit will be activated first to ensure that the charging pile will not be damaged due to overheating.

[0035] For example, during a thunderstorm, charging piles may be threatened by lightning strikes. The main function of the lightning protection unit is to guide the high voltage of lightning to the ground through a lightning rod or other conductive device, preventing the charging pile from being damaged by electric shock. This security unit is activated based on real-time weather data and predicted thunderstorm conditions to ensure the system has lightning protection capabilities.

[0036] The power-off protection unit automatically triggers when abnormal weather conditions are detected, particularly potential power system overloads, short circuits, or external grid faults. Its core function is to quickly cut off power if an abnormal current is detected, preventing further electrical incidents. Power-off protection is particularly critical during thunderstorms, high temperatures, and other extreme conditions, ensuring that the charger does not continue to operate in unsafe conditions.

[0037] The temperature protection unit activates in response to extreme temperature conditions, such as high or low temperatures. When the ambient temperature exceeds the normal operating range of the charger, the temperature protection unit activates cooling or heating devices to keep the device operating within a safe temperature range. Especially in high-temperature mode, the system may introduce forced cooling devices, such as fans or coolant circulation systems, to prevent overheating and damage to electronic components.

[0038] During heavy rain, high humidity, or windy conditions, the waterproof and dustproof unit activates. This unit uses sealing devices, drainage systems, and dust-proof materials to prevent water and dust from entering the charging pile, thus preventing short circuits and device degradation caused by internal moisture or dust accumulation. This unit is particularly important during thunderstorms and strong winds.

[0039] Once a targeted security unit is activated, the system not only implements the appropriate protective measures but also dynamically adjusts them based on real-time environmental monitoring data. For example, if a thunderstorm intensifies, the lightning protection unit's sensitivity and response speed will increase accordingly; if the temperature continues to rise, the temperature protection unit may accelerate the cooling rate. This dynamic adjustment ensures that the charging pile can continuously respond to potential risks brought about by environmental changes. By activating and coordinating multiple security units, the system can provide comprehensive protection against different environmental risks, ensuring that the charging pile continues to operate safely and stably in a variety of harsh environments.

[0040] P40: Based on the target security unit and in combination with the working environment prediction sequence, a personalized protection plan is dynamically generated, and based on the personalized protection plan, the safety protection of the target car charging pile is executed.

[0041] Furthermore, step P40 in this embodiment of the present application further includes:

[0042] P41: According to the target security unit, the monitoring indicators corresponding to each unit are extracted, including the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators, and corresponding safety risk identification channels are configured for each unit, including the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel; P42: According to the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel, respectively, combined with the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators, risk identification is performed to obtain corresponding lightning protection risk identification results, power failure risk identification results, temperature risk identification results and waterproof and dustproof risk identification results; P43: Based on the lightning protection risk identification results, the power failure risk identification results, the temperature risk identification results and the waterproof and dustproof risk identification results, a personalized protection plan is dynamically generated.

[0043] It should be understood that based on the activated target security units and the predicted sequence of the working environment, a personalized protection plan is dynamically generated to ensure that the car charging pile can be protected in a timely and effective manner in various environments.

[0044] First, based on the activated target security units (such as lightning protection, power outage protection, temperature protection, and water and dust protection), the corresponding monitoring indicators are extracted for each unit. These indicators include lightning protection, power outage protection, temperature protection, and water and dust protection. These indicators are crucial for assessing the operating status of each unit and identifying potential safety risks. The lightning protection indicator monitors the intensity of lightning activity and its threat to charging piles. The power outage protection indicator detects changes in current and voltage to identify potential power anomalies. The temperature protection indicator monitors temperature changes in the charging pile and its surroundings to ensure they remain within safe ranges. The water and dust protection indicator monitors humidity, rain, and dust accumulation to prevent damage to the charging pile.

[0045] Furthermore, each unit is equipped with a corresponding safety risk identification channel, such as a lightning protection risk identification channel, a power outage risk identification channel, a temperature risk identification channel, and a waterproof and dustproof risk identification channel. These channels integrate advanced sensor technology, data analysis algorithms, and communication protocols to achieve real-time collection, processing, and transmission of monitoring indicators. Together, these monitoring indicators and risk identification channels form a complete monitoring network, enabling the system to monitor the safety status of charging piles in real time.

[0046] Next, risk identification is performed using various safety risk identification channels, combined with corresponding monitoring indicators. Specifically, the lightning protection risk identification channel, combined with lightning protection monitoring indicators, assesses the potential threat of lightning to charging piles. The power outage risk identification channel, combined with power outage protection monitoring indicators, monitors the stability of the electrical system and predicts power outage risks. The temperature risk identification channel, combined with temperature protection monitoring indicators, monitors the operating temperature of charging piles in real time and warns of overheating risks. The waterproof and dustproof risk identification channel, combined with waterproof and dustproof monitoring indicators, assesses the extent of external weather erosion on charging piles. This process, based on powerful data processing capabilities and intelligent analysis algorithms, can quickly and accurately identify various potential safety risks.

[0047] Finally, based on the risk identification results, a personalized protection plan is dynamically generated. This plan fully considers various factors in the current working environment prediction sequence and the risk identification results of each security unit, optimizing the combination of protective measures through intelligent decision-making algorithms. For example, if an impending lightning strike is predicted, the system may prioritize activating the lightning protection unit and strengthen monitoring; if an excessively high temperature is detected, the cooling system of the temperature protection unit is activated and operating parameters are adjusted to reduce the temperature. The generation and execution of personalized protection plans not only improves the targeted and flexible protection, but also ensures the optimal operation of the charging pile under different environmental conditions.

[0048] Furthermore, based on the temperature protection monitoring indicator, operating temperature risk prediction is performed according to the temperature risk identification channel. In this embodiment of the application, step P42 further includes:

[0049] P42-1: The temperature protection monitoring indicators include but are not limited to ambient temperature, internal temperature of the equipment, temperature rise rate and heat dissipation capacity; P42-2: Based on the temperature protection monitoring indicators, a temperature protection monitoring matrix is ​​constructed: ;in, is a conventional indicator matrix, n is the number of samples, m is the number of indicators, represents the value of the i-th sample on the j-th indicator; P42-3: normalize the temperature protection monitoring matrix to obtain a reference temperature monitoring matrix; P42-4: calculate the ideal solution and negative ideal solution of each temperature protection monitoring indicator, where the ideal solution is: ; The negative ideal solution is: ; P42-5: Based on the ideal solution and the negative ideal solution, combined with the reference temperature monitoring matrix, the operating temperature risk prediction is performed to obtain the temperature risk identification result.

[0050] Optionally, based on the temperature protection monitoring indicators, the specific process of predicting the operating temperature risk according to the temperature risk identification channel may be: first, in the temperature protection process, a plurality of key temperature protection monitoring indicators are extracted. These indicators include but are not limited to the ambient temperature, which refers to the air temperature outside the charging pile, and is an important factor affecting the temperature of the device by the external environment. The internal temperature of the device, that is, the temperature of the core components inside the charging pile is monitored to reflect the heat accumulation of the device. The temperature rise rate refers to the rate of change of the device temperature per unit time, which can determine whether the temperature rises rapidly in a short period of time and there is a risk of overheating. The heat dissipation capacity, that is, the working efficiency of the device heat dissipation system, reflects whether the heat of the device can be discharged in time.

[0051] Based on the above temperature protection monitoring indicators, a temperature protection monitoring matrix is ​​constructed. The matrix represents the values ​​of multiple samples on different temperature monitoring indicators. The form of the matrix is: ;in, is a conventional indicator matrix, n is the number of samples, m is the number of indicators, This matrix contains a large amount of temperature monitoring data, laying the foundation for subsequent analysis.

[0052] To ensure comparability between different temperature protection monitoring indicators, the monitoring matrix is ​​normalized. Normalization converts indicators with different units or dimensions to the same scale, typically using a maximum-minimum normalization method. The normalized matrix is ​​called the baseline temperature monitoring matrix. This baseline matrix ensures that all temperature monitoring indicators are within the same range, facilitating subsequent analysis.

[0053] Next, the ideal solution and negative ideal solution of each temperature protection monitoring indicator are calculated. The ideal solution represents the best state of each temperature monitoring indicator, while the negative ideal solution represents the worst state. Specifically defined as: The ideal solution is: ; represents the maximum value of each indicator, that is, the expected optimal state. The negative ideal solution is: ; represents the minimum value of each indicator, i.e., the worst-case scenario. These ideal and negative ideal solutions represent the target and risk states of the equipment in terms of temperature protection, providing a reference standard for risk prediction.

[0054] Finally, the operating temperature risk is predicted by combining the reference temperature monitoring matrix with the aforementioned ideal and negative ideal solutions. For example, by calculating the distance between each sample and the ideal and negative ideal solutions, the system can assess the risk level of the current operating state. If the sample is close to the ideal solution, it indicates that the temperature monitoring result is relatively ideal; if the sample is close to the negative ideal solution, it indicates a greater temperature risk. Ultimately, the system generates a temperature risk identification result to guide the development of subsequent personalized protection plans.

[0055] Furthermore, step P42-5 of the embodiment of the present application also includes:

[0056] P42-51: Based on the reference temperature monitoring matrix, calculate the distance between the monitoring data at each time point and the ideal solution and the negative ideal solution to obtain the relative distance: ;in, is the relative distance of positive samples, is the relative distance of the negative sample; P42-52: Based on the relative distance, calculate the relative proximity: ;in, is the relative proximity of the samples, which is between 0 and 1; P42-53: Based on the relative proximity, the operating temperature risk is predicted, and the temperature safety protection of the target car charging pile is performed based on the temperature risk identification result.

[0057] In a possible embodiment of the present application, the specific process of temperature risk identification may be: first, based on the reference temperature monitoring matrix, the monitoring data at each time point is calculated respectively for its distance from the ideal solution and the negative ideal solution. Specifically, the relative distance of the positive sample is It refers to the distance between the sample and the ideal solution, reflecting the closeness between the current monitoring data and the expected optimal state; the relative distance of negative samples is the distance between the sample and the negative ideal solution, reflecting the distance between the current monitoring data and the worst state. The calculation formulas for these two distances are: ;in, is the relative distance of positive samples, is the relative distance of negative samples.

[0058] Next, based on the relative distances of positive samples and negative samples, the relative proximity is calculated at each time point to assess the risk level of the current sample. The relative proximity is a value between 0 and 1 that reflects the degree of closeness of the sample to the ideal solution and the negative ideal solution. The calculation formula is as follows: ;in, is the relative proximity of the samples, which is between 0 and 1. In this formula, if If it approaches 1, it means that the sample is closer to the negative ideal solution, indicating that the current temperature has a higher risk; if If it approaches 0, it means that the sample is closer to the ideal solution, indicating that the temperature state is relatively safe. Through relative proximity, the system can quantitatively assess the risk of the current monitoring data.

[0059] Furthermore, by calculating the relative proximity at each time point, the system can accurately predict the operating temperature risk of the charging pile. Specifically, when the relative proximity value is high, it means that the temperature of the charging pile may be approaching a dangerous level and appropriate protective measures need to be initiated; when the relative proximity value is low, it means that the temperature is within a safe range and the equipment can operate normally.

[0060] Based on these relative proximity values, the system generates a temperature risk identification result and uses this as a basis for implementing temperature safety protection measures for the target vehicle charging station. For example, if the temperature monitoring results indicate that the relative proximity value is above the set safety threshold, the system will trigger the temperature protection unit, such as activating the cooling device or adjusting the heat dissipation mechanism to prevent the device from overheating. If the relative proximity value indicates that the temperature is within the lower risk range, the system can continue to operate normally without additional protection measures.

[0061] Furthermore, steps P42-53 of the embodiment of the present application also include:

[0062] P42-531: Based on the temperature risk identification result, combined with the temperature control constraints, risk level classification is performed to obtain the temperature risk level; P42-532: Based on the temperature risk level, the temperature protection unit is activated and corresponding temperature risk protection measures are executed.

[0063] Specifically, the temperature risk identification results are processed and applied in depth to ensure that potential temperature risks can be responded to accurately and promptly. First, based on the temperature risk identification results, the risk level is divided in combination with the preset temperature control constraints to obtain a specific temperature risk level. The temperature control constraints are formulated by the system based on factors such as the design specifications of the charging pile, the operating environment requirements, and historical data, and are used to define the thresholds or ranges of different risk levels. By comparing the temperature risk identification results with these constraints, the system divides the risks into different levels, such as low risk, medium risk, and high risk. The technical support for this process lies in the accurate interpretation of the risk identification results and the reasonable setting of temperature control constraints to ensure the scientific nature and effectiveness of the risk level division.

[0064] Next, based on the resulting temperature risk level, the corresponding temperature protection unit is activated and appropriate temperature risk protection measures are implemented. Temperature protection units are key components in charging piles that monitor and control temperature, such as temperature sensors, cooling fans, and temperature control switches. The system selectively activates these units based on the risk level and adjusts their operating status to address different risk scenarios. For example, in high-risk situations, the system might activate the cooling fan at full speed and shut down or reduce the power output of the charging pile to quickly reduce the temperature and prevent overheating. This step relies on the system's precise control and rapid response capabilities for the temperature protection units, as well as its accurate understanding of the relationship between risk levels and protection measures. Through risk level classification and activation of temperature protection units, precise response to temperature risks and effective protection are achieved. This process not only demonstrates the system's intelligent level of risk assessment and decision-making, but also demonstrates its reliability and practicality in ensuring the safe operation of charging piles.

[0065] In summary, the embodiments of the present application have at least the following technical effects:

[0066] This application obtains information about the working area of ​​the vehicle charging pile, interacts with real-time environmental monitoring data and meteorological data, generates an environmental prediction sequence, performs trend analysis, and matches single- or multi-indicator protection modes, such as thunderstorms, high temperatures, and low temperatures. Based on the protection mode, the corresponding security unit is activated, including lightning protection, power outages, temperature protection, and waterproof and dustproof units. Combined with the environmental prediction sequence, a personalized protection plan is dynamically generated to ensure the safe operation of the charging pile in complex environmental conditions.

[0067] The technical effect of predicting the operating environment trend of automobile charging piles based on real-time environmental monitoring data and performing dynamic safety protection according to the prediction results has been achieved to improve the safety of charging piles.

[0068] Embodiment 2 is based on the same inventive concept as the vehicle charging pile safety protection method in the above embodiment. Figure 2 As shown, the present application provides a car charging pile safety protection system. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0069] The working environment prediction sequence acquisition module 11 is used to interactively acquire real-time environmental monitoring data and meteorological monitoring data based on the working area information of the target vehicle charging pile, and fuse them to generate a working environment prediction sequence for the target vehicle charging pile.

[0070] The target protection pattern matching module 12 is used to perform environmental trend analysis based on the working environment prediction sequence, and to match and obtain the target protection pattern according to the environmental trend analysis results. The target protection pattern includes a single-indicator protection mode and a multi-indicator protection mode. The single-indicator protection mode includes but is not limited to a thunderstorm mode, a high temperature mode, and a low temperature mode.

[0071] The target security unit activation module 13 is used to activate the corresponding target security unit with reference to the target protection mode. The target security unit can be a lightning protection unit, a power failure protection unit, a temperature protection unit, and a waterproof and dustproof unit.

[0072] The charging pile safety protection module 14 is used to dynamically generate a personalized protection plan based on the target security unit and the working environment prediction sequence, and perform safety protection of the target automobile charging pile based on the personalized protection plan.

[0073] Furthermore, the working environment prediction sequence acquisition module 11 is further configured to perform the following steps:

[0074] Read the working area information of the target automobile charging pile, wherein the working area information includes geographic location information and device location identification; based on the geographic location information, interact with the meteorological platform to obtain the meteorological monitoring data; according to the device location identification, read the associated sensor device data to obtain the real-time environmental monitoring data; through a pre-built meteorological environment prediction model, perform working environment analysis and prediction of the target automobile charging pile based on the real-time environmental monitoring data and meteorological monitoring data to obtain the working environment prediction sequence.

[0075] Furthermore, the target protection pattern matching module 12 is further configured to perform the following steps:

[0076] Based on the working environment prediction sequence, an environmental trend analysis is performed, including temperature trend analysis, precipitation trend analysis, and wind speed trend analysis, to obtain multiple environmental indicator trend sequences; the multiple environmental indicator trend sequences are compared and judged with multiple environmental indicator thresholds to generate multiple environmental indicator hazard levels; based on the multiple environmental indicator hazard levels, key protection indicators are extracted, and the extracted key protection indicators are sorted by protection priority to generate a key protection indicator combination; based on the key protection indicator combination, the preset protection space is traversed to match and obtain the target protection mode.

[0077] Furthermore, the charging pile safety protection module 14 is further configured to perform the following steps:

[0078] According to the target security unit, the monitoring indicators corresponding to each unit are extracted, including the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators, and corresponding safety risk identification channels are configured for each unit, including the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel; risk identification is performed based on the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel, respectively, in combination with the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators to obtain corresponding lightning protection risk identification results, power failure risk identification results, temperature risk identification results and waterproof and dustproof risk identification results; based on the lightning protection risk identification results, the power failure risk identification results, the temperature risk identification results and the waterproof and dustproof risk identification results, a personalized protection plan is dynamically generated.

[0079] Furthermore, the charging pile safety protection module 14 is further configured to perform the following steps:

[0080] The temperature protection monitoring indicators include but are not limited to ambient temperature, internal temperature of the device, temperature rise rate and heat dissipation capacity; based on the temperature protection monitoring indicators, a temperature protection monitoring matrix is ​​constructed: ;in, is a conventional indicator matrix, n is the number of samples, m is the number of indicators, represents the value of the i-th sample on the j-th indicator; normalize the temperature protection monitoring matrix to obtain a reference temperature monitoring matrix: calculate the ideal solution and negative ideal solution of each temperature protection monitoring indicator, where the ideal solution is: ; The negative ideal solution is: ; Based on the ideal solution and the negative ideal solution, combined with the reference temperature monitoring matrix, the operating temperature risk prediction is performed to obtain the temperature risk identification result.

[0081] Furthermore, the charging pile safety protection module 14 is further configured to perform the following steps:

[0082] Based on the reference temperature monitoring matrix, the distance between the monitoring data at each time point and the ideal solution and the negative ideal solution is calculated to obtain the relative distance: in, is the relative distance of positive samples, is the relative distance of the negative sample; based on the relative distance, the relative proximity is calculated: in, is the relative proximity of the samples, which is between 0 and 1; an operating temperature risk prediction is performed based on the relative proximity, and temperature safety protection of the target vehicle charging pile is performed based on the temperature risk identification result.

[0083] Furthermore, the charging pile safety protection module 14 is further configured to perform the following steps:

[0084] According to the temperature risk identification result, risk level classification is performed in combination with temperature control constraints to obtain a temperature risk level; based on the temperature risk level, a temperature protection unit is activated and corresponding temperature risk protection measures are executed.

[0085] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0086] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0087] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, to the extent such modifications and variations fall within the scope of the present application and its equivalents, the present application is intended to include such modifications and variations.

Claims

1. A method for protecting the safety of a car charging pile, characterized in that: The method comprises: Based on the working area information of the target vehicle charging pile, real-time environmental monitoring data and meteorological monitoring data are interactively obtained and integrated to generate a working environment prediction sequence for the target vehicle charging pile; Based on the working environment prediction sequence, an environmental trend analysis is performed, and according to the environmental trend analysis results, a target protection mode is matched and obtained, wherein the target protection mode includes a single-index protection mode and a multi-index protection mode, and the single-index protection mode includes a thunderstorm mode, a high temperature mode, and a low temperature mode; Referring to the target protection mode, activating corresponding target security units, wherein the target security units are a lightning protection unit, a power failure protection unit, a temperature protection unit, and a waterproof and dustproof unit; Dynamically generate a personalized protection plan based on the target security unit and the working environment prediction sequence, and execute safety protection of the target vehicle charging pile based on the personalized protection plan; Based on the target security unit and the predicted working environment sequence, a personalized protection plan is dynamically generated, including: According to the target security unit, the corresponding monitoring indicators of each unit are extracted, including the extraction of lightning protection monitoring indicators, power failure protection monitoring indicators, temperature protection monitoring indicators and waterproof and dustproof monitoring indicators, and corresponding security risk identification channels are configured for each unit, including lightning protection risk identification channels, power failure risk identification channels, temperature risk identification channels and waterproof and dustproof risk identification channels; According to the lightning protection risk identification channel, power outage risk identification channel, temperature risk identification channel and waterproof and dustproof risk identification channel, respectively, combined with the lightning protection monitoring indicators, power outage protection monitoring indicators, temperature protection monitoring indicators and waterproof and dustproof monitoring indicators, risk identification is performed to obtain corresponding lightning protection risk identification results, power outage risk identification results, temperature risk identification results and waterproof and dustproof risk identification results; Based on the lightning protection risk identification results, power outage risk identification results, temperature risk identification results and waterproof and dustproof risk identification results, a personalized protection plan is dynamically generated.

2. A vehicle charging pile safety protection method according to claim 1, characterized in that: Based on the working area information of the target vehicle charging pile, real-time environmental monitoring data and meteorological monitoring data are interactively obtained and integrated to generate a working environment prediction sequence for the target vehicle charging pile, including: Read the working area information of the target vehicle charging pile, wherein the working area information includes geographic location information and device location identifier; Based on the geographic location information, the interactive meteorological platform obtains the meteorological monitoring data; Reading associated sensor device data according to the device location identifier to obtain the real-time environmental monitoring data; The working environment of the target vehicle charging pile is analyzed and predicted by using a pre-built meteorological environment prediction model according to the real-time environmental monitoring data and meteorological monitoring data to obtain the working environment prediction sequence.

3. A vehicle charging pile safety protection method according to claim 1, characterized in that: Based on the working environment prediction sequence, an environmental trend analysis is performed, and according to the environmental trend analysis results, a target protection mode is matched and obtained, including: Based on the working environment prediction sequence, performing environmental trend analysis, including temperature trend analysis, precipitation trend analysis, and wind speed trend analysis, to obtain multiple environmental indicator trend sequences; Comparing and judging the multiple environmental indicator trend sequences with multiple environmental indicator thresholds to generate multiple environmental indicator hazard levels; Extracting key protection indicators based on the multiple environmental indicator hazard levels, sorting the extracted key protection indicators by protection priority, and generating a key protection indicator combination; According to the combination of key protection indicators, the preset protection space is traversed to match and obtain the target protection mode.

4. A vehicle charging pile safety protection method according to claim 1, characterized in that: Based on the temperature protection monitoring indicator, operating temperature risk prediction is performed according to the temperature risk identification channel, including: The temperature protection monitoring indicators include ambient temperature, internal temperature of the equipment, temperature rise rate and heat dissipation capacity; Based on the temperature protection monitoring indicators, a temperature protection monitoring matrix is ​​constructed: in, is a conventional indicator matrix, n is the number of samples, m is the number of indicators, Indicates the value of the i-th sample on the j-th index; The temperature protection monitoring matrix is ​​normalized to obtain a reference temperature monitoring matrix: Calculate the ideal solution and negative ideal solution of each temperature protection monitoring indicator, where the ideal solution is: The negative ideal solution is: ; Based on the ideal solution and the negative ideal solution, combined with the reference temperature monitoring matrix, an operating temperature risk prediction is performed to obtain the temperature risk identification result.

5. A vehicle charging pile safety protection method according to claim 4, characterized in that: Based on the ideal solution and the negative ideal solution, combined with the reference temperature monitoring matrix, an operating temperature risk prediction is performed to obtain the temperature risk identification result, including: Based on the reference temperature monitoring matrix, the distance between the monitoring data at each time point and the ideal solution and the negative ideal solution is calculated to obtain the relative distance: in, is the relative distance of positive samples, is the relative distance of negative samples; Based on the relative distance, calculate the relative proximity: in, is the relative proximity of the samples, between 0 and 1; An operating temperature risk prediction is performed based on the relative proximity, and temperature safety protection of the target vehicle charging pile is performed based on the temperature risk identification result.

6. A vehicle charging pile safety protection method according to claim 5, characterized in that: Performing temperature safety protection on the target vehicle charging pile based on the temperature risk identification result includes: Based on the temperature risk identification result, the risk level is divided into different levels in combination with the temperature control constraints to obtain the temperature risk level; Based on the temperature risk level, the temperature protection unit is activated and corresponding temperature risk protection measures are executed.

7. A car charging pile safety protection system, characterized in that: The system comprises: A working environment prediction sequence acquisition module is used to interactively acquire real-time environmental monitoring data and meteorological monitoring data based on the working area information of the target vehicle charging pile, and fuse them to generate a working environment prediction sequence for the target vehicle charging pile; a target protection mode matching module, the target protection mode matching module being used to perform environmental trend analysis based on the working environment prediction sequence, and to match and obtain a target protection mode according to the environmental trend analysis result, the target protection mode including a single-index protection mode and a multi-index protection mode, the single-index protection mode including a thunderstorm mode, a high temperature mode, and a low temperature mode; A target security unit activation module, the target security unit activation module is used to activate the corresponding target security unit with reference to the target protection mode, the target security unit is a lightning protection unit, a power failure protection unit, a temperature protection unit and a waterproof and dustproof unit; A charging pile safety protection module, which is used to dynamically generate a personalized protection plan based on the target security unit and the working environment prediction sequence, and perform safety protection for the target automobile charging pile based on the personalized protection plan; The charging pile safety protection module is also used to perform the following steps: According to the target security unit, the monitoring indicators corresponding to each unit are extracted, including the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators, and corresponding safety risk identification channels are configured for each unit, including the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel; risk identification is performed based on the lightning protection risk identification channel, the power failure risk identification channel, the temperature risk identification channel and the waterproof and dustproof risk identification channel, respectively, in combination with the lightning protection monitoring indicators, the power failure protection monitoring indicators, the temperature protection monitoring indicators and the waterproof and dustproof monitoring indicators to obtain corresponding lightning protection risk identification results, power failure risk identification results, temperature risk identification results and waterproof and dustproof risk identification results; based on the lightning protection risk identification results, the power failure risk identification results, the temperature risk identification results and the waterproof and dustproof risk identification results, a personalized protection plan is dynamically generated.

Images